IJEP 45(6): 555-562 : Vol. 45 Issue. 6 (June 2025)
Ladoke Akintola University of Technology, Department of Civil Engineering, Faculty of Engineering and Technology, Ogbomoso, P.M.B. 4000, Nigeria
Abstract
This study model sediment delivery distribution on river Oyan for effective water resources management. 22 hydrological and rainfall records were sourced from the Ogun-Osun river Basin Development Authority. Hydrological (flow velocity, discharge) and geometrical (breadth, depth), were measured at six sampling points along the river from April 2021 to March 2024. Satellite imagery and elevation data obtained from Sentinel-2 (Landsat) were used to generate landuse map of the study area. Soil data from food and agriculture organization (FAO) was used to generate soil maps. Sediment yield of the catchment was estimated using the soil conservation service curve number (SCS-CN) approach, revised universal soil loss equation (RUSLE) and soil and water assessment tool (SWAT) 10.4.1 model, respectively. Sensitivity analysis and statistical metrics were used to compare simulated and observed stream flow data. The curve number (CN) of the upstream, midstream and downstream of the river were 0.63, 0.09 and 0.63, respectively. River Oyan catchment consists of sandy-loam soil. Cumulative peak rainfall was 512 mm, the runoff ranged from 202.3- 512 mm. Sediment yield of the river catchment varies from 7.45 – 9.85 tonne/ha/year. River Oyan catchment sediment distribution along river Oyan were satisfactorily estimated to enable targeted management interventions.
Keywords
Geometrical, Hydrological, River Oyan, Sediment yield, Runoff
References
- Olaniyan, O.S. 2009. Hydrological analysis sediment transport in a turbulent flow. Master Dissertation. Vrije Universiteit, Brussels, Belgium.
- Idongesit, E.O., A. Idongesit and C.N.N. Abasi. 2022. A study on heavy metals pollution levels in water and sediment of river Kubani dam, Zaria, Nigeria. Pacific J. Sci. Tech., 23(2): 107-116.
- Morris, G. L. 2020. Classification of management alternatives to combat reservoir sedimentation.
J. Water. 12(1): 861. DOI: 10.3390/w/2030861. - Olaniyan, O.S. and A.A. Adegbola. 2018. Comparison of sediment transport models on river Omi, southwestern Nigeria. Biodiversity Int. J., 2(2): 15-51.
- Mwangi, J.K., et al. 2015. A modelling approach to evaluate the impact of conservation practices on water and sediment yield in Sasumua watershed, Kenya. J. Soil Water Conser., 70(2): 77-90.
- Nur Syabeera, B.N.A., B.M. Firuza and Y.M. Safiah. 2023. Spacial prediction of soil erosion risk using knowledge-driven method in Malaysia steepland agriculture forested valley. J. Env. Develop. Sustain., 26: 15333-15339. DOI: 10.1007/s10668-023-03251-8.
- Rodriguez-Blanco, M.L., M.M. Taboada-Castro and M.T. Taboada-Castro. 2013. Lining the field to the stream: Soil erosion and sediment yield in a rural catchment, NW Spain. CATENA. 103: 74-81.
- Dai, W., et al. 2022. Monitoring and modelling sediment transport in space in small loss catchment transport using UAV-SIM photogrammetery. CATE-NA. 214: 106244. DOI: 10.1016/j.catena.2022. 106244.
- Ganasri, B.P. and H. Ramesh. 2016. Assessment of soil erosion by RUSLE model using remote sensing and GIS- A case study of Nethravathi. Basin Geosci. Frontiers. 7(10): 953-961.
- Gwapedza, D., et al. 2021. Prediction of sediment yield of the Insu river catchment (South Africa) using the MUSLE. Int. Soil Water Conser. Res., 9(1): 27-48. DOI: 10.1016/j.iswcr.2020.10.003.
- Batista, P.V.G., et al. 2017. Modelling spatially distributed solid losses and sediment yield in the upper Grande river basin, Brazil. CATENA. 157: 139-150.
- Chalise, D., et al. 2019. Estimation of sediment yield and maximum outflow using the IntEro model in the Sarada river basin of Nepal. J. Water. 11(5): 952-965.
- Beskow, S., et al. 2009. Soil erosion prediction in the Grande river basin, Brazil using distributed modelling. CATENA. 79(1): 49-59.
- Karakoyun, E. and N. Kaya. 2022. Modelling strem- flow and sediment yield with determination of soil erosion prone areas by using the SWAT model. Research square. 1-41 (Preprint).
- Jushi, J., et al. 2022. AWESOME: Archive for water erosion and sediment outflow measurements. Earth System Sci. Data Discussion. DOI: 10.5194/essd-2022-87. (Preprint)
- Jung, C., W.J. Jang and S.J. Kim. 2017. Empirical estimation of the spatial sediment transport capacity coefficient using the rain erosivity factor and SWAT model in the Han river basin, South Korea. J. Hydrol. Earth System Sci. Discussion. DOI: 10.5 19/itess-2016-619. (Preprint)